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Intelligenza artificiale e gen AI: i quattro elementi per passare al “next level”

CIO

Altrettanto importante (e forse più trascurata) è la questione dei big data che servono per addestrare i modelli e il costo connesso. L’analisi dei dati attraverso l’apprendimento automatico (machine learning, deep learning, reti neurali) è la tecnologia maggiormente utilizzata dalle grandi imprese che utilizzano l’IA (51,9%).

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Highlights from the Strata Data Conference in San Jose 2018

O'Reilly Media - Data

Watch highlights covering machine learning, business intelligence, data privacy, and more. From the Strata Data Conference in San Jose 2018. Experts from across the data world came together in San Jose, California for the Strata Data Conference. Privacy in the age of machine learning.

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Software Outsourcing: Why CEOs Love It

Gorilla Logic

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. CIO.com notes that it took employers an average of 109 days to fill roles in machine learning and AI, compared to 44 days to fill jobs in general. .

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Personalized Insurance: Auto and Telematics, Health, and Other Success Stories

Altexsoft

This is possible because their machine learning model is retrained almost daily. On top of that, the company uses big data analytics to quantify losses and predict risks by placing the client into a risk group and quoting a relevant premium. Cover compares with policy data and prices from over 30 different insurers.

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Analyst One Announces Top Analytical Technologies List

CTOvision

With the continuous development of advanced infrastructure based around Apache Hadoop there has been an incredible amount of innovation around enterprise “Big Data” technologies, including in the analytical tool space. H2O by 0xdata brings better algorithms to big data. Mike really nailed it with that one.

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N2Growth Helps Businesses Combine Strategy & Innovation for a Consumer-First Approach to Digital Transformation

N2Growth Blog

Businesses must also take advantage of customer telemetry, Big Data, generated by activity on websites, mobile devices, and social media, to create a more personalized experience — both in-house and online. But not every business knows how to convert that data into actionable insights.

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Cloud-Scale Visibility Tools: The Right Stuff

Kentik

Monitoring needs to span multiple domains: the private enterprise data center and WAN; fixed and mobile service provider networks; the public Internet; and hybrid multi-cloud infrastructure. Network data is big data. Big Data was born in the cloud and Big Data analytics is well-suited for cloud-based deployments.

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